Clinical Research Associate
1 day ago
Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically pre-adapted and fine-tuned large language model (LLM) with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records (EMR). Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate the process of manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, and deploys medical logic with temporal sensitivity to match dynamically changing patient characteristics with complex clinical trial criteria during the exact window of time that a given EMR may qualify for study protocol criteria.
As a vital member of our diverse team, our Clinical Research Associates (CRA) will collaborate closely with the NLP and software engineering teams. Together, we develop clinically accurate AI algorithms to read, comprehend, and extract clinical data and conclusions from physician notes within EMRs, leveraging our partnerships with healthcare systems. The CRA will contribute to the training, performance evaluation, and deployment of Dyania's Synapsis AI.
Key Responsibilities:- Development of medical cases utilized for training Dyania's LLM
- Delineation of clinical logic for trial criteria matching
- Assessment of clinical trial protocols and composition of trial documentation
- Breakdown of inclusion and exclusion trial criteria into machine-friendly queries
- Evaluation and quality assurance of Synapsis AI performance to ensure clinical accuracy
- Design and draft of investigator initiated protocols for retrospective observational studies
Required Qualifications:
- Medical Doctor (MD) or PharmD degree from an accredited US or EU university.
- Highly organized, strong attention to detail, and critical thinking.
- Experience with writing, managing and reviewing clinical notes.
- Comprehension of clinical guidelines to ensure accurate and up-to-date AI model training.
- Creative, solution-oriented, and flexible approach to problem solving.
- Proficiency in written/verbal communication in English.
- Strong communication skills for effective collaboration among interdisciplinary and multidisciplinary teams.
- Clinical trials design and clinical research procedures.
- Proficiency in Excel for data cleaning and transformations.
- Familiarity with AI/NLP, or SQL knowledge.
- Prior experience with EMR vendors in the US.
- We lead with empathy for patients and our teammates
- We value small egos, self-awareness, and humility in our teammates
- We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift
- We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team
- We value open dialogue and brainstorming across multidisciplinary teams
Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.
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Clinical Research Associate
1 day ago
Athens, Attica, Greece Dyania Health Full time €60,000 - €80,000 per yearAbout Dyania HealthDyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically pre-adapted and fine-tuned large language model (LLM) with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records (EMR). Synapsis...
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Clinical Research Associate
1 day ago
Athens, Attica, Greece Dyania Health Full time €60,000 - €80,000 per yearAbout Dyania HealthDyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically pre-adapted and fine-tuned large language model (LLM) with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records (EMR). Synapsis...
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